Learn R - t-tests

Load Packages

haven

# Check if haven is already installed and if it is, load it.
if (!require(haven)){
  # If it's not intalled, then tell R to install it.
  install.packages("haven", dependencies = TRUE)
  # Once it's installed, tell R to load it.
  library(haven)
}

tidyverse

if (!require()){
  install.packages("", dependencies = TRUE)
  library()
}

Import Data

dataset <- read_sav("https://osf.io/kd4ej/download") 

t-test

t.test(formula = FFM_1 ~ CoinFlip,
       data = dataset,
       var.equal = FALSE)

    Welch Two Sample t-test

data:  FFM_1 by CoinFlip
t = -2.419, df = 76.753, p-value = 0.01793
alternative hypothesis: true difference in means between group 1 and group 2 is not equal to 0
95 percent confidence interval:
 -1.0412385 -0.1009527
sample estimates:
mean in group 1 mean in group 2 
       3.307692        3.878788